Can Wearable Devices and Machine Learning Techniques Be Used for Recognizing and Segmenting Modified Physical Performance Test Items?-Reference-Cited by-同舟云学术

Can Wearable Devices and Machine Learning Techniques Be Used for Recognizing and Segmenting Modified Physical Performance Test Items?

Published:2022 Issue: Volume:30 Page:1776-1785
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Zhang Yiyuan¹^ORCID,Wang Xiangyu²,Han Pengxuan²,Verschueren Sabine³,Chen Wei⁴^ORCID,Vanrumste Bart¹^ORCID

Affiliation:

1. E-Media Research Laboratory and the ESAT-STADIUS Division, KU Leuven, Leuven, Belgium

2. E-Media Research Laboratory, KU Leuven, Leuven, Belgium

3. Department of Rehabilitation Sciences, Musculoskeletal Rehabilitation Research Group, KU Leuven, Leuven, Belgium

4. School of Information Science and Technology, Fudan University, Shanghai, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/9695946/09808320.pdf?arnumber=9808320

Reference40 articles.

1. Translational Motion Tracking of Leg Joints for Enhanced Prediction of Walking Tasks

2. Comparing deep and classical machine learning methods for human activity recognition using wrist accelerometer;gjoreski;Proc Workshop Deep Learn Artif Intell (IJCAI),2016

3. Algorithms for hyper-parameter optimization;bergstra;Proc Adv Neural Inf Process Syst,2011

4. Indoor activity recognition for modified physical performance test via continuous wave radar sensor;han;Proc 24th Int Conf Neural Inf Process Syst (NIPS),2011

5. MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation

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